Abstract.
The principles of processing superposition of reflected super-wide-band LFM
signals by a correlation-filtering method are considered. As a result, the compressed
over the distance chirp signals are transformed in a spatial «window» and their
frequencies are shifted proportionally. In this case, the frequency band of the
reflected signals narrows in proportion to the transformation coefficient, so
that further processing can be performed in digital form. This ensure high
stability and identity of the processed signals necessary for more reliable
recognition of radar targets with allowance for over-resolution by distance. A
method for compensating frequency detunings, compressed and frequency-shifted
superpositions of reflected chirp signals, is proposed, which makes it possible
to carry out their weight processing by standard methods and to limit the
spectral band. Thus, the signal-to-noise ratio is increased, and the
correlation-filtering method, taking into account the compensation of frequency
detunings of the transformed and compressed chirp signals, approaches the optimal
modus. This makes it possible to provide detection at longer distances, about
0.8 times the maximum detection, and, if necessary, take appropriate measures. It
is shown that, regardless of the spatial "window" size, energy losses
remain minimal, and the frequency of discrete samples of compressed pulses
decreases in proportion to the transformation coefficient, while providing high
resolution and maintaining phase information about the "brilliant"
points in the spatial "portrait". In addition, the correlation-filter
path characteristics dependence is determined: the deviation and duration of
the main and auxiliary heterodynes, as well as the compressing filter spectral
characteristics from the parameters of the spatial "window", the
distance resolution and the coefficient of transformation.
Keywords:
radar, recognition, correlation-filteingr
method, frequency-time transformation, weight processing.
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